Biologically inspired robot body models and self-calibration

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00362313" target="_blank" >RIV/68407700:21230/22:00362313 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-642-41610-1_201-1" target="_blank" >https://doi.org/10.1007/978-3-642-41610-1_201-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-41610-1_201-1" target="_blank" >10.1007/978-3-642-41610-1_201-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Biologically inspired robot body models and self-calibration

Popis výsledku v původním jazyce

Typically, mechanical design specifications provide the basis for a robot model and kinematic and dynamic mappings are constructed and remain fixed during operation. However, there are many sources of inaccuracies (e.g., assembly process, mechanical elasticity, friction). Furthermore, with the advent of collaborative, social, or soft robots, the stiffness of the materials and the precision of the manufactured parts drops and Computer-aided design (CAD) models provide a less accurate basis for the models. Humans, on the other hand, seamlessly control their complex bodies, adapt to growth or failures, and use tools. Exploiting multimodal sensory information plays a key part in these processes. In this chapter, differences between body representations in the brain and robot body models are established and the possibilities for learning robot models in biologically inspired ways are assessed.

Název v anglickém jazyce

Biologically inspired robot body models and self-calibration

Popis výsledku anglicky

Typically, mechanical design specifications provide the basis for a robot model and kinematic and dynamic mappings are constructed and remain fixed during operation. However, there are many sources of inaccuracies (e.g., assembly process, mechanical elasticity, friction). Furthermore, with the advent of collaborative, social, or soft robots, the stiffness of the materials and the precision of the manufactured parts drops and Computer-aided design (CAD) models provide a less accurate basis for the models. Humans, on the other hand, seamlessly control their complex bodies, adapt to growth or failures, and use tools. Exploiting multimodal sensory information plays a key part in these processes. In this chapter, differences between body representations in the brain and robot body models are established and the possibilities for learning robot models in biologically inspired ways are assessed.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

20204 - Robotics and automatic control

Projekt

<a href="/cs/project/GX20-24186X" target="_blank" >GX20-24186X: Vědomí celého povrchu těla pro bezpečnou a přirozenou interakci: od mozku ke kolaborativním robotům</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Encyclopedia of Robotics

ISBN

978-3-642-41610-1

Počet stran výsledku

14

Strana od-do

—

Počet stran knihy

4000

Název nakladatele

Springer

Místo vydání

Berlin & Heidelberg

Kód UT WoS kapitoly

—